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Resource Allocation for Uncoded Multi-user Video Transmission over Wireless Networks

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Abstract

In wireless networks, multi-user video streaming under limited resource is a challenging problem. The main challenge is how to meet the transmission requirements under the different channel condition and video content complexity. In this paper, we propose an uncoded video transmission framework to deliver the multi-user video over wireless networks. In order to evaluate the overall performance of multi-user network more practically, three optimization strategies are proposed in this paper: 1) minimizing the total distortion; 2) minimizing the maximal distortion; 3) minimizing the summation of square root distortion. Furthermore, the corresponding joint resource allocation algorithms are developed to solve the optimization problems. The simulation results demonstrate that different optimization strategies have different resource allocation and performance for each user. The optimization strategy 1) performs the best in terms of average PSNR of all users, the optimization strategy 2) achieves more fair result, and the optimization strategy 3) achieves a good balance. The strategy 3) can improve the performance for users with bad channel condition, while little loss is caused for users with good channel condition.

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References

  1. Cisco (2013) Cisco visual networking index: global mobile data traffic forecast update, 2012–2017. Tech. rep. http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white%5Fpaper%5Fc11-520862.html

  2. Jakubczak S, Katabi D (2011) A cross-layer design for scalable mobile video. In: Proceedings of ACM Mobicom, pp 289– 300

  3. Lee KH, Petersen DP (1976) Optimal linear coding for vector channels. IEEE Trans Commun 24 (12):1283–1290

    Article  MATH  Google Scholar 

  4. Fan X, Xiong R, Wu F, Zhao D (2012) Wavecast: wavelet based wireless video broadcast using lossy transmission. In: Proceedings of IEEE visual communications and image processing (VCIP), pp 1–6

  5. Cui H, Song Z, Yang Z, Luo C, Xiong R, Wu F (2013) Cactus: a hybrid digital-analog wireless video communication system. In: Proceedings of ACM MSWiM, pp 273–278

  6. Cui H, Luo C, Chen CW, Wu F (2014) Robust uncoded video transmission over wireless fast fading channel. In: Proceedings of IEEE INFOCOM, pp 73–81

  7. Su GM, Han Z, Wu M, Liu KR (2006) A scalable multiuser framework for video over OFDM networks: fairness and efficiency. IEEE Trans Circuits Syst Video Technol 16(10):1217– 1231

    Article  Google Scholar 

  8. Su GM, Han Z, Wu M, Liu KR (2007) Joint uplink and downlink optimization for real-time multiuser video streaming over WLANs. IEEE J Sel Top Sign Proces 1(2):280–294

    Article  Google Scholar 

  9. Huang J, Li Z, Chiang M, Katsaggelos AK (2008) Joint source adaptation and resource allocation for multi-user wireless video streaming. IEEE Trans Circuits Syst Video Technol 18(5):582–595

    Article  Google Scholar 

  10. Maani E, Pahalawatta PV, Berry R, Pappas TN, Katsaggelos AK (2008) Resource allocation for downlink multiuser video transmission over wireless lossy networks. IEEE Trans Image Process 17(9):1663–1671

    Article  MathSciNet  Google Scholar 

  11. Joseph V, de Veciana G (2012) Jointly optimizing multi-user rate adaptation for video transport over wireless systems: mean-fairness-variability tradeoffs. In: Proceedings of IEEE INFOCOM, pp 567–575

  12. Fu F, van der Schaar M (2010) A systematic framework for dynamically optimizing multi-user wireless video transmission. IEEE J Sel Areas Commun 28(3):308–320

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work was supported in part by National Natural Science Foundation of China (Nos. 61390513, 61571329 and 61502341), National Science and Technology Major Project of China (Nos. 2014ZX03003003).

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Authors and Affiliations

  1. College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, People’s Republic of China

    Dian Liu, Hao Cui & Jun Wu

  2. Microsoft Research Asia, Beijing, 100080, People’s Republic of China

    Chong Luo

Authors
  1. Dian Liu
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  2. Hao Cui
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  3. Jun Wu
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  4. Chong Luo
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Correspondence to Hao Cui.

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Liu, D., Cui, H., Wu, J. et al. Resource Allocation for Uncoded Multi-user Video Transmission over Wireless Networks. Mobile Netw Appl 21, 950–961 (2016). https://doi.org/10.1007/s11036-016-0713-9

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  • DOI: https://doi.org/10.1007/s11036-016-0713-9

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